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» Dynamically Adapting Kernels in Support Vector Machines
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SIGKDD
2008
150views more  SIGKDD 2008»
13 years 8 months ago
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Ch...
ICASSP
2011
IEEE
13 years 4 days ago
Detection of synthetic speech for the problem of imposture
In this paper, we present new results from our research into the vulnerability of a speaker verification (SV) system to synthetic speech. We use a HMM-based speech synthesizer, w...
Phillip L. De Leon, Inma Hernáez, Ibon Sara...
CEC
2008
IEEE
14 years 2 months ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...
KES
2005
Springer
14 years 1 months ago
Design of a Digital Forensics Image Mining System
Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper dis...
Ross Brown, Binh Pham, Olivier Y. de Vel
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
13 years 6 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...